{"id":1253056,"url":"https://alion.io/job/glauben-technologies-data-scientist","title":"Data Scientist","company":{"id":3800360,"name":"Glauben Technologies","domain":"glaubentechnology.com","url":"https://alion.io/company/glauben-technologies","size_band":null,"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":["Hyderabad, India","Pune, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":42000,"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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SQL","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-09-11T06:19:26Z","employer_posted_date":null,"last_verified_at":"2026-09-11T06:19:26Z","board_verified":false,"closed_at":null,"days_open":20,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":20},"description":"About the Role :\n\nWe are looking for a Data Scientist with strong experience in developing and deploying machine learning solutions for business problems. The ideal candidate should have hands-on expertise across data preparation, statistical and machine learning techniques, model development, experimentation, validation, and productionization, along with exposure to Generative AI and modern AI capabilities.\n\nKey Responsibilities :\n\n- Lead the ML development track within client engagements, from problem definition through deployment.\n\n- Perform data collection, profiling, exploratory data analysis (EDA), feature engineering, and data preparation.\n\n- Develop, experiment with, tune, and validate machine learning and deep learning models.\n\n- Apply appropriate statistical and ML techniques to solve complex business problems across structured and unstructured data.\n\n- Work with supervised, unsupervised, and reinforcement learning approaches where applicable.\n\n- Explore and implement Generative AI and large language model (LLM) use cases, including model adaptation and fine-tuning approaches.\n\n- Evaluate pre-trained models, open-source models, datasets, and third-party AI capabilities for business applications.\n\n- Develop AI/ML solutions across domains such as NLP, computer vision, speech, and structured data, based on project requirements.\n\n- Apply ensemble modelling, model optimization, and responsible AI practices to improve solution quality and reliability.\n\n- Deploy and scale models using appropriate ML deployment and cloud technologies.\n\n- Work with Azure, AWS, or GCP and leverage their AI/ML capabilities for solution development.\n\n- Explore emerging AI technologies and conduct proofs of concept (PoCs) to evaluate their applicability to client and business use cases.\n\n- Propose ML/AI solution approaches, estimate effort, and contribute to solution development and pre-sales activities.\n\n- Present analytical findings, model outcomes, and business recommendations to clients, business users, and project leadership.\n\n- Contribute to AI-based modules and accelerators within organizational solution development initiatives.\n\n- Mentor junior team members and promote adoption of AI/ML best practices across the organization.\n\n- Maintain high standards of model quality, documentation, scalability, security, and responsible AI.\n\nRequired Skills :\n\n- 5 - 10 years of experience in Data Science, Machine Learning, or a closely related role.\n\n- Strong hands-on programming experience in Python, R, and SQL.\n\n- Strong understanding of statistical machine learning, deep learning, and model ensembling.\n\n- Experience with data preparation, EDA, feature engineering, experimentation, model tuning, and validation.\n\n- Experience working with supervised and unsupervised learning; exposure to reinforcement learning is an advantage.\n\n- Hands-on experience with Generative AI/LLMs, including model fine-tuning or adaptation approaches.\n\n- Good understanding of NLP, Transformer architectures, embeddings, and modern AI models.\n\n- Exposure to computer vision, speech analytics, or other AI domains is preferred.\n\n- Experience with AI/ML tools for data analysis, model development, deployment, scaling, and fine-tuning.\n\n- Good understanding of open-source and pre-trained models, datasets, and third-party AI platforms.\n\n- Experience with at least one hyperscaler: Azure, AWS, or GCP, with knowledge of their AI/ML capabilities.\n\n- Understanding of Responsible AI, model fairness, transparency, and data privacy.\n\n- Knowledge of model optimization techniques such as quantization and pruning is an advantage.\n\n- Good understanding of software development practices, APIs, and application architecture.\n\n- Strong analytical and problem-solving skills with the ability to break complex problems into structured hypotheses.\n\n- Excellent communication skills with the ability to translate technical AI concepts and findings into business value and actionable recommendations.\n\n- Strong innovation, experimentation, and mentoring capabilities.\nSkills\nPython, Machine Learning, SQL, Generative AI, NLP, AWS, R, Computer Vision, Data Science, Data Scientist, Artificial Intelligence","description_format":"text","description_chars":4194,"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":"2026-09-25T18:04:06Z"}],"liveness":{"score":45,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.708,"p_room":0.75,"age_days":19,"expected_fill_days":24,"reasons":["seen:19","velocity","win:late"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/glauben-technologies-data-scientist","json_url":"https://alion.io/job/glauben-technologies-data-scientist.json","meta":{"generated_at":"2026-10-01T09:13:31Z","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":33,"day_limit":5000,"remaining_today":4967,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}