{"id":2802836,"url":"https://alion.io/job/ajni-consulting-machine-learning-lead-2","title":"Machine Learning Lead","company":{"id":3801621,"name":"Ajni Consulting","domain":"prometheusconsulting.in","url":"https://alion.io/company/ajni-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":66000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"MySQL","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Amazon S3","optional":true},{"name":"Anomaly Detection","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Matplotlib","optional":true},{"name":"NLP","optional":true},{"name":"Power BI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Rest API","optional":true},{"name":"Seaborn","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-07-28T06:39:31Z","employer_posted_date":null,"last_verified_at":"2026-07-28T06:39:31Z","board_verified":false,"closed_at":null,"days_open":86,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":86},"description":"What is the role about?\n\nWe are looking for an experienced Machine Learning Lead to drive end-to-end AI/ML initiatives, from problem definition to production deployment. This role combines technical leadership, architecture design, and hands-on model development, ensuring scalable and business-aligned ML solutions. You will lead a team of data scientists and engineers while collaborating with cross-functional teams to build impactful AI-driven products.\n\nKey Responsibilities :\n\nTechnical Leadership :\n\n- Lead the design and development of scalable machine learning solutions\n\n- Define ML architecture, model selection, and feature engineering strategies\n\n- Guide teams on best practices in model development, evaluation, and deployment\n\n- Review code, models, and pipelines to ensure high-quality delivery\n\nModel Development & Optimization :\n\n- Build and deploy models for :\n\n1. Customer churn prediction\n\n2. Recommendation systems\n\n3. Demand forecasting\n\n4. Customer segmentation\n\n- Optimize models for :\n\n1. Accuracy\n\n2. Performance\n\n3. Scalability\n\nData & Feature Engineering :\n\n- Design robust data pipelines for :\n\n1. Data ingestion\n\n2. Feature engineering\n\n3. Data validation\n\n- Handle large-scale structured and unstructured datasets\n\nMLOps & Deployment :\n\n- Lead production deployment using :\n\n1. AWS SageMaker / Lambda / APIs\n\n2. Docker, CI/CD pipelines\n\n- Implement :\n\n1. Model monitoring\n\n2. Retraining pipelines\n\n3. Versioning and experiment tracking (MLflow)\n\nBusiness Collaboration :\n\n- Translate business problems into ML solutions\n\n- Work with stakeholders to define KPIs and success metrics\n\n- Drive data-driven decision-making across teams\n\nTeam Management :\n\n- Mentor junior and mid-level data scientists\n\n- Conduct technical reviews and knowledge-sharing sessions\n\n- Build a high-performance ML team\n\nMust-Have Criteria :\n\n- 6+ years of experience in AI/ML or Data Science\n\n- Strong expertise in :\n\n1. Machine Learning (supervised & unsupervised)\n\n2. Feature engineering & model tuning/optimization\n\n- Proficiency in :\n\n1. Python (NumPy, Pandas, Scikit-learn)\n\n2. At least one : TensorFlow / PyTorch\n\n- Strong understanding of :\n\n1. Probability & Statistics\n\n2. Linear Algebra\n\n3. Data Mining Concepts and Problem understanding and Solving Skills\n\n- Experience with :\n\n1. Large-scale data processing\n\n2. SQL and databases (PostgreSQL, MySQL, MongoDB)\n\n- Hands-on experience in deploying ML models to production\n\n- Strong debugging and optimization skills\n\nPreferred Skills :\n\n Experience with a wide range of machine learning use cases, including but not limited to :\n\n- Recommendation systems\n\n- Time series forecasting\n\n- Customer analytics (churn prediction, segmentation, CLV)\n\n- Classification and regression problems\n\n- Anomaly detection and fraud detection\n\n- NLP use cases (text classification, information extraction)\n\n- Demand forecasting and inventory optimization\n\n- Personalization and targeting models\n\n- Ability to quickly understand and adapt ML solutions to new business problems across domains\n\n- MLOps tools :\n\n1. MLflow, Docker, Kubernetes\n\n- Cloud platforms :\n\n1. AWS (SageMaker, S3, Lambda)\n\n- Experience in building :\n\n1. REST APIs for ML inference\n\n- Knowledge of :\n\n1. Data visualization (Power BI, matplotlib, seaborn)\n\nLeadership & Soft Skills :\n\n- Strong problem-solving mindset\n\n- Ability to lead and mentor teams\n\n- Excellent communication with both technical and business stakeholders\n\n- Experience handling end-to-end project ownership\n\nPreferred Qualifications : \n\n- Bachelors/Masters degree in :\n\n1. Computer Science\n\n2. Data Science\n\n3. Mathematics\n\n4. Statistics\n\n5. Engineering\n\n- Relevant certifications in AI/ML or Cloud (AWS/Azure/GCP)\n\nGood to Have :\n\n- Experience in GenAI / LLM-based systems\n\n- Knowledge of :\n\n1. RAG pipelines\n\n2. Prompt engineering\n\n- Experience in building and deploying ML solutions across multiple industry domains, including but not limited to :\n\n1. Retail (recommendation systems, demand forecasting, customer segmentation)\n\n2. Healthcare (clinical data analysis, predictive diagnostics, operational optimization)\n\n3. Financial Services (fraud detection, risk modeling, credit scoring)\n\n4. E-commerce and Digital Platforms\n\n5. Logistics and Supply Chain\n\n6. Telecom and Customer Engagement platforms\n\n- Ability to understand domain-specific challenges and translate them into scalable, data-driven ML solution\nSkills\nMachine Learning, Artificial Intelligence, MLOps, AWS SageMaker, Data Science, Python, Tensorflow, PyTorch, SQL, Time Series Forecasting, NLP","description_format":"text","description_chars":4550,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Recruiting & Staffing","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-18T01:22:52Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.496,"p_room":0.28,"age_days":85,"expected_fill_days":27,"reasons":["seen:85","win:tail","crowd:"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/ajni-consulting-machine-learning-lead-2","json_url":"https://alion.io/job/ajni-consulting-machine-learning-lead-2.json","meta":{"generated_at":"2026-10-22T07:11:39Z","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":2654,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":3801621},"rest":"https://alion.io/mcp/rest/get_company?id=3801621"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fajni-consulting-machine-learning-lead-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fajni-consulting-machine-learning-lead-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fajni-consulting-machine-learning-lead-2"},{"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/ajni-consulting-machine-learning-lead-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fajni-consulting-machine-learning-lead-2"}]}