{"id":1238812,"url":"https://alion.io/job/hiringblaze-data-scientist-aiml-engineer","title":"Data Scientist / AI/ML Engineer","company":{"id":3800132,"name":"HiringBlaze","domain":"hiringblaze.com","url":"https://alion.io/company/hiringblaze","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":59000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-25T14:22:18Z","employer_posted_date":null,"last_verified_at":"2026-09-25T14:22:18Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Role Overview : \n\nWe are seeking a high-caliber Data Scientist and AI/ML Engineer to join our innovation hub in Gurgaon. In this role, you will bridge the gap between complex data architecture and cutting-edge Generative AI applications, working closely with cross-functional product teams and business stakeholders to solve high-impact problems. You will be responsible for the end-to-end lifecycle of intelligent systemsfrom conceptualizing LLM-driven features to deploying scalable MLOps pipelines. Your work will directly influence our product roadmap, enabling us to deliver personalized, AI-first experiences that drive significant business growth and operational efficiency for our global client base.\n\nKey Responsibilities : \n\n- Architect and deploy advanced Generative AI solutions using LLMs and LangChain to automate complex workflows and enhance user engagement.\n\n- Develop and optimize robust machine learning models using PyTorch and TensorFlow to extract actionable insights from large-scale datasets.\n\n- Collaborate with engineering teams to implement MLOps best practices, ensuring seamless model monitoring, versioning, and deployment in cloud environments.\n\n- Translate ambiguous business requirements into technical specifications, ensuring that data-driven solutions align with long-term organizational goals.\n\n- Conduct rigorous statistical analysis and data exploration to identify trends, anomalies, and opportunities for process optimization across the business.\n\n- Refine prompt engineering strategies to improve the accuracy, safety, and relevance of AI-generated outputs for end-users.\n\nRequired Skillset : \n\n- Demonstrated expertise in Python and the data science stack, including Pandas, NumPy, and Scikit-learn, to manipulate and analyze complex datasets effectively.\n\n- Proven ability to design and fine-tune Deep Learning architectures and NLP models to solve real-world language processing challenges.\n\n- Strong proficiency in SQL and Big Data technologies, with the ability to manage and query large-scale databases to support data-intensive applications.\n\n- Exceptional communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and influence decision-making at the leadership level.\n\n- Hands-on experience with Cloud Computing platforms (AWS, GCP, or Azure) to build, test, and scale production-grade AI services.\n\n- A solid foundation in Statistics and probability, enabling the development of mathematically sound models that provide reliable business outcomes.\n\n- A collaborative mindset, thriving in a hybrid work environment in Gurgaon, with the agility to adapt to rapidly evolving AI research and industry trends.\n\n- A Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or a related quantitative field from a premier institute.\n\n- 3 to 5 years of professional experience in building and deploying production-ready machine learning and AI systems.\nSkills\nArtificial Intelligence, Machine Learning, Data Science, Data Scientist, Generative AI, Deep Learning, NLP, LLM, Tensorflow, MLOps","description_format":"text","description_chars":3102,"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":["Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T16:00:00Z"}],"liveness":{"score":44,"band":"fade","label":"Fading","p_open":1,"p_active":0.444,"p_room":1,"age_days":2,"expected_fill_days":8,"reasons":["seen:2","agency","velocity","win:early"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/hiringblaze-data-scientist-aiml-engineer","json_url":"https://alion.io/job/hiringblaze-data-scientist-aiml-engineer.json","meta":{"generated_at":"2026-09-28T23:27:22Z","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":1081,"day_limit":5000,"remaining_today":3919,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}