{"id":1227762,"url":"https://alion.io/job/infocepts-ai-data-engineering-specialist","title":"AI & Data Engineering Specialist","company":{"id":2534381,"name":"Infocepts","domain":"infocepts.com","url":"https://alion.io/company/infocepts-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","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","Nagpur, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"BERT","optional":false},{"name":"Copilot","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FAISS","optional":false},{"name":"GPT-4","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"Feature Store","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Machine Learning","optional":true},{"name":"MLFlow","optional":true},{"name":"NLP","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-23T06:57:39Z","employer_posted_date":null,"last_verified_at":"2026-09-23T06:57:39Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Position : AI/ML Engineer.\n\nLocation : Pune/Nagpur.\n\nType of Employment : FTE.\n\nPurpose of the Position : \n\nThis role is ideal for individuals who are passionate about applying their expertise in AI Engineering, Data Engineering, programming, data analysis, and problem-solving to real-world challenges.\n\nAs a key member of our engineering team, you will support clients on their AI journey by developing solutions that drive measurable business value.\n\nThis position plays a critical role in advancing Infocepts' strategic goals by delivering data-driven insights and enabling transformative AI/ML programs.\n\nKey Result Areas and Activities : \n\n- Data & Cloud Engineering : Design and maintain high-performance ETL/ELT pipelines on AWS using PySpark, Python, SQL across EMR, Glue, Lambda, Step Functions, Redshift, and S3.\n\n- Applied AI - LLM, RAG, Agentic Workflows : Develop, fine-tune, and deploy LLMs (GPT-4 class, BERT, T5) for enterprise applications.\n\n- AI Platform & Tooling (Modern Stack) : Work with emerging enterprise AI platforms.\n\n- Architecture, Governance & Collaboration : Contribute to solution architecture, AI governance, data security, and model lifecycle frameworks.\n\nEssential Skills : \n\n- 5+ years of experience across AI/ML and Data Engineering.\n\n- Expert-level skills in Python, PySpark, Scala and advanced SQL.\n\n- Hands-on experience with AWS data and AI services.\n\n- Working experience with LLMs, RAG, vector databases, and transformer-based architectures.\n\n- Solid understanding of distributed systems, data modeling, and data platform design.\n\n- Experience with modern AI frameworks such as LangChain, FAISS, or Elasticsearch.\n\n- Experience with Productivity Improvement Tools like Github Copilot.\n\nDesirable Skills : \n\n- Good functional knowledge of Media & Entertainment domain.\n\n- Experience with Snowflake Cortex for secure enterprise LLM workloads.\n\n- Experience with Databricks Genie / Lakehouse AI, Unity Catalog, Delta Live Tables.\n\n- Knowledge of prompt engineering, safety guardrails, and agent tooling.\n\n- Familiarity with feature stores, model registries, MLflow, or similar tooling.\n\n- Knowledge of statistical methods, deep learning, NLP techniques.\n\nQualifications : \n\n- Bachelor's degree in computer science engineering, or related field (master's degree is a plus).\n\n- Demonstrated continued learning through one or more technical certifications or related methods.\n\nQualities : \n\n- Strong collaboration across cross-functional and cross-time-zone teams.\n\n- Persuasive communicator with strong presentation and storytelling skills.\n\n- Domain understanding to contextualize AI in real business processes.\n\n- Iterative, feedback-driven, and committed to delivering high-impact results.\nSkills\nPython, PySpark, AWS, Machine Learning, LangChain, Artificial Intelligence, SQL, ElasticSearch, Databricks, NLP, Snowflake DB","description_format":"text","description_chars":2864,"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":"2026-09-25T13:06:44Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.896,"p_room":1,"age_days":5,"expected_fill_days":31,"reasons":["seen:5","velocity","win:early"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/infocepts-ai-data-engineering-specialist","json_url":"https://alion.io/job/infocepts-ai-data-engineering-specialist.json","meta":{"generated_at":"2026-09-30T01:52:06Z","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":1482,"day_limit":5000,"remaining_today":3518,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}