{"id":4314968,"url":"https://alion.io/job/datavruti-senior-machine-learning-engineer-python-pytorchtensorflow-snowflake-databricks-mlops","title":"Senior Machine Learning Engineer (Python | PyTorch/TensorFlow | Snowflake | Databricks | MLOps)","company":{"id":4489938,"name":"datavruti","domain":"datavruti.com","url":"https://alion.io/company/datavruti","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"worldwide","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":null,"max":3000000,"currency":"INR","period":"year","gross":null,"usd_annual":31995},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tokenization","optional":false}],"status":"live","first_seen_at":"2026-11-02T12:33:14Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-14T15:19:30Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Hiring for: A US-based, AI-first data solutions company founded by seasoned technology leaders.\nRole: Advanced ML Engineer\nPositions: 1\nExperience: 5 to 7 years\nLocation(s): Remote (Global), Chennai\nType: On-site / Permanent\nSalary: Up to INR 30 LPA (based on the fitment)\nNotice Period: Immediate to 30 days\nMandatory Skills: ML systems using Python + PyTorch/TensorFlow + Snowflake/Databricks + MLOps.\nJob Description\nWe are seeking an Advanced Machine Learning Engineer to design, build, train, deploy, and operate scalable machine learning systems. This hands-on ML engineering role focuses on implementing models and production systems -not solely conducting data analysis or research. It requires strong Python and deep-learning expertise, experience with frameworks such as PyTorch or TensorFlow, and the ability to own the end-to-end model lifecycle, from behavioral/event data preparation and feature engineering through model development, large-scale training, deployment, inference optimization, and monitoring. The engineer will work with Snowflake, Databricks, Spark, and GPU-based training infrastructure to deliver reliable, efficient, and maintainable ML capabilities.\nKey Responsibilities\nMachine Learning Engineering\nImplement and optimize machine learning algorithms and models for business use cases, including classification, regression, clustering, and recommendation systems as applicable.\nTranslate model requirements into robust, reusable, and testable Python components.\nBuild model training, validation, scoring, and inference workflows that can be integrated into production applications.\nEvaluate model performance against agreed technical and business metrics and implement improvements to accuracy, latency, robustness, and resource efficiency.\nApply appropriate validation, error analysis, and model testing practices to ensure reliable behavior.\nDeep Learning & Model Architecture\nTrain models efficiently on GPU infrastructure using techniques such as mixed-precision training, gradient accumulation, checkpointing, memory optimization, and distributed training strategies where appropriate.\nUse PyTorch, TensorFlow, PySpark or equivalent frameworks to implement experiments and production-ready training code; apply rigorous evaluation, error analysis, and reproducibility practices.\nBuild model-training workflows covering event/token sequence preparation, tokenization, temporal and positional representations, self-supervised pretraining, and downstream fine-tuning when appropriate to the use case.\nDesign, implement, train, and optimize deep-learning models; develop custom architectures where required, including transformer- and attention-based models for sequential or behavioral data.\nData Platforms & ML Pipelines\nUse Snowflake and SQL to access, query, and prepare enterprise data required by machine learning applications.\nUse Databricks for scalable data processing, feature preparation, model development, and ML pipeline execution.\nDevelop and maintain reliable pipelines for data preparation, feature generation, training, batch scoring, and inference.\nUse PySpark and distributed processing techniques where appropriate for large-scale workloads.\nWork with data engineering teams to integrate upstream data sources and ensure dependable data contracts, quality checks, and pipeline operation.\nProductionization & MLOps\nProductionize ML solutions and integrate them with services, APIs, data products, or downstream business workflows.\nImplement model and code versioning, experiment tracking, reproducible builds, automated testing, and release practices.\nMonitor model outputs and pipeline health; troubleshoot failures, data changes, drift, and performance degradation.\nImprove operational reliability, scalability, observability, and maintainability of ML systems.\nCollaborate with platform, cloud, and DevOps teams on deployment automation and production support.\nBuild observable production ML systems with appropriate logging, alerting, performance tracking, and operational safeguards.\nOptimize inference latency, throughput, memory use, and serving cost through model architecture choices, batching, and serving-side optimizations.\nSoftware Engineering & Technical Ownership\nDevelop clean, modular, documented, and maintainable code following engineering standards and design principles.\nContribute to technical design, code reviews, testing strategies, and architectural decisions for ML systems.\nOwn assigned ML engineering deliverables from technical design through implement","description_format":"text","description_chars":4538,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-14T15:19:30Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":12,"expected_fill_days":39,"reasons":["conf:1","agency","win:early","comp:remote"],"computed_at":"2026-11-14T16:40:35Z"},"pay":{"stated_usd_annual":31995,"is_top_pay":false},"html_url":"https://alion.io/job/datavruti-senior-machine-learning-engineer-python-pytorchtensorflow-snowflake-databricks-mlops","json_url":"https://alion.io/job/datavruti-senior-machine-learning-engineer-python-pytorchtensorflow-snowflake-databricks-mlops.json","meta":{"generated_at":"2026-11-14T16:40:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18933,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4489938},"rest":"https://alion.io/mcp/rest/get_company?id=4489938"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatavruti-senior-machine-learning-engineer-python-pytorchtensorflow-snowflake-databricks-mlops"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdatavruti-senior-machine-learning-engineer-python-pytorchtensorflow-snowflake-databricks-mlops"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdatavruti-senior-machine-learning-engineer-python-pytorchtensorflow-snowflake-databricks-mlops"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/datavruti-senior-machine-learning-engineer-python-pytorchtensorflow-snowflake-databricks-mlops\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatavruti-senior-machine-learning-engineer-python-pytorchtensorflow-snowflake-databricks-mlops"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4314968}},{"tool":"search_jobs","arguments":{"company":"datavruti.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4314968},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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