{"id":1252723,"url":"https://alion.io/job/yo-hr-consultancy-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":3801612,"name":"Yo Hr Consultancy","domain":"yohrconsultancy.com","url":"https://alion.io/company/yo-hr-consultancy","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-14T08:20:54Z","employer_posted_date":null,"last_verified_at":"2026-09-14T08:20:54Z","board_verified":false,"closed_at":null,"days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"Job Profile :\n\nAI Machine Learning Engineer\n\nLocation :\n\nPune\n\nExperience :\n\n8 - 10 years\n\nMust Have :\n\n- Experience with MLOps processes and tools, SQL, Databricks, MLFlow and PowerBI/Tableau.\n\n- Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML, or equivalent.\n\n- Strong SQL and data analysis skills for validation, troubleshooting, monitoring, and reporting.\n\n- Experience with model lifecycle management, including model registry, versioning, lineage, reproducibility, deployment tracking, and monitoring.\n\n- Familiarity with dashboards and alerting tools such as Power BI, Tableau, Databricks SQL dashboards, or equivalent.\n\n- Working knowledge of Git, CI/CD, scripting, and production support practices would be advantageous.\n\n- Analytical and pragmatic, with the ability to interpret governance principles into implementation plans.\n\n- Clear communicator who can explain complex technical risks and solutions to non-technical stakeholders.\n\n- Self-driven and proactive, comfortable working in a fast-paced environment.\n\n- Familiarity with ML and data development process in telco environment.\n\n- Bachelor's or Master's degree in Computer Science or a related field.\n\nKey Responsibilities:\n\n- Responsible for designing, implementing, and managing MLOps workflows, tools, and operational processes for AIML solutions.\n\n- Oversee the day-to-day stability, reliability, and operational health of ML models and ML pipelines.\n\n- Manage model lifecycle operations, including model registration, versioning, deployment tracking, lineage, reproducibility, and governance.\n\n- Implement monitoring for data drift, concept drift, model performance degradation, inference quality, and service-level issues.\n\n- Develop and execute incident handling, recovery, rollback, and escalation plans for ML-related issues.\n\nRequired Skills :\n\n1. Technical Skills :\n\n- Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML, or equivalent.\n\n- Strong SQL and data analysis skills for validation, troubleshooting, monitoring, and reporting.\n\n- Experience with model lifecycle management, including model registry, versioning, lineage, reproducibility, deployment tracking, and monitoring.\n\n- Familiarity with dashboards and alerting tools such as Power BI, Tableau, Databricks SQL dashboards, or equivalent.\n\n- Working knowledge of Git, CI/CD, scripting, and production support practices would be advantageous.\n\n2. Non-Technical :\n\n- Analytical and pragmatic, with the ability to interpret governance principles into implementation plans.\n\n- Clear communicator who can explain complex technical risks and solutions to non-technical stakeholders.\n\n- Self-driven and proactive, comfortable working in a fast-paced environment.\n\n3. Other Task-Specific Knowledge :\n\n- Familiarity with ML and data development process in telco environment.\n\nEducation :\n\n- Bachelor's or Master's degree in Computer Science or a related field.\nSkills\nMLOps, Databricks, SQL, Power BI, Tableau, Artificial Intelligence, Machine Learning","description_format":"text","description_chars":3082,"description_truncated":false,"requirements":{"experience_years_min":8,"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":"2026-09-25T18:04:06Z"}],"liveness":{"score":59,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.768,"p_room":0.9,"age_days":14,"expected_fill_days":23,"reasons":["seen:14","velocity","win:mid"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/yo-hr-consultancy-machine-learning-engineer","json_url":"https://alion.io/job/yo-hr-consultancy-machine-learning-engineer.json","meta":{"generated_at":"2026-09-30T01:20:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":878,"day_limit":5000,"remaining_today":4122,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}