Engineering Manager

Job Title : AI/ML Engineer (Python)

Location : Gurgaon

Experience : 5+ Years and 10+ Years

Role Overview :

We are seeking highly skilled AI/ML Engineers with expertise in Python to join our team in Gurgaon. The ideal candidates will have 5+ Years or 10+ Years of experience in building and deploying AI/ML models, developing scalable solutions, and contributing to cutting-edge machine learning projects.

Key Responsibilities :

• Design, develop, and deploy robust AI/ML models and algorithms to solve real-world problems.
• Collaborate with cross-functional teams to integrate machine learning solutions into production environments.
• Implement data preprocessing, feature engineering, and model optimization techniques.
• Work with large datasets to derive insights and develop predictive models.
• Write clean, efficient, and well-documented Python code.
• Evaluate model performance and fine-tune algorithms for better accuracy and efficiency.
• Research and implement new machine learning methods and technologies.
• Develop and maintain automated pipelines for training, testing, and deploying models.
• Mentor junior engineers (for 10+ Years of experience candidates).

Key Requirements :

Educational Qualification : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience :

• For 5+ Years : Proven expertise in AI/ML development with hands-on project experience.
• For 10+ Years : Advanced expertise in AI/ML with a track record of leading complex projects and mentoring teams.

Technical Skills :

• Strong programming skills in Python.
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in data processing tools such as Pandas and NumPy.
• Experience with cloud platforms (AWS, Azure, or GCP) for deploying models.
• Knowledge of NLP, computer vision, or deep learning techniques is a plus.
• Familiarity with big data tools (e.g., Spark, Hadoop) is advantageous.

Soft Skills :

• Strong analytical and problem-solving abilities.
• Excellent communication and team collaboration skills.
• Ability to adapt to a fast-paced and dynamic environment.

Preferred Qualifications :

• Hands-on experience with MLOps tools and workflows.
• Familiarity with version control systems like Git.
• Exposure to end-to-end product lifecycle from ideation to deployment.

Benefits :

• Competitive salary and performance-based incentives.
• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Continuous learning and upskilling opportunities.

Skills  - MLOps Pipeline Development | CI/CD (Jenkins) | Automation Scripting | Model Deployment & Monitoring | ML Lifecycle Management | Version Control & Governance | Docker & Kubernetes | Performance Optimization | Troubleshooting | Security & Compliance

Responsibilities:

1. Design, develop, and implement MLOps pipelines for the continuous deployment and

integration of machine learning models

2. Collaborate with data scientists and engineers to understand model requirements and

optimize deployment processes

3. Automate the training, testing and deployment processes for machine learning models

4. Continuously monitor and maintain models in production, ensuring optimal

performance, accuracy and reliability

5. Implement best practices for version control, model reproducibility and governance

6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness

7. Troubleshoot and resolve issues related to model deployment and performance

8. Ensure compliance with security and data privacy standards in all MLOps activities

9. Keep up to date with the latest MLOps tools, technologies and trends

10. Provide support and guidance to other team members on MLOps practices

Required skills and experience:

• 3-10 years of experience in MLOps, DevOps or a related field

• Bachelor’s degree in computer science, Data Science or a related field

• Strong understanding of machine learning principles and model lifecycle management

• Experience in Jenkins pipeline development

• Experience in automation scripting

What will you be doing at Enalo?

• Understand the problem statement and derive potential product solutions.
• Conduct market research, competitor analysis and user research.
• Collaborate with multiple teams to take the product forward.
• Participate in product strategy, build a roadmap and execute to bring products to life.
• Manage product requirement definition and feature identification for future initiatives, including documentation of prioritized feature sets and use cases.
• Lead the development and QA teams at the appropriate times to realise the goals of the product.
• Own scrum and all the related activities like sprint planning, and release.
• Create user stories and use cases for product features.
• Look for roadblocks and mitigate risks.
• Organize daily stand-ups, brainstorming and review sessions.
• Maintain backlogs and prioritize them effectively.
• Experience the product as an end-user and identify gaps to make the product better. And ensure users can see the value of the product!
• Craft product presentations and do demos.
• Define product metrics and speak through data.
• Be a driving force in assembling the resources necessary to ship high-impact products and features, and facilitate communication throughout the development process.
• Work with the release process and support teams to ensure that the product is released successfully and any issues in production are resolved quickly.
• Measure and analyse the success of a product or feature using internal tools as well as tools like Google Analytics
• Efficiently manage agile development of the product.
• Contribute to the product's 'Go To Market' Strategy.

Skills required :

• Strong familiarity with product development, user flows and UI experience.
• Proven ability to successfully manage all phases of the product development lifecycle.
• Expertise with web/mobile analytic tools.
• Excellent organizational, statistical, strategic thinking, problem-solving, analytical, written and oral presentation and communication skills.
• Strong understanding of agile management (Scrum).
• Ability to break the ground through research and data analysis.
• Good collaboration, design thinking and presentation skills.
• Affinity to marketing.
• Preferred experience in product development as an engineer
• Preferred experience in a product company
• Experience in building or working with an early-stage tech product startup would be a plus.
• Excellent organizational, statistical, strategic thinking, problem-solving, analytical, written and oral presentation and communication skills.
• Experience in B2B SaaS/Payments will be added advantage.

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management

Operations Executive:

• Operations are at the heart of CupShup as we take pride in having a solid network of corporates and associates across the country. Think you’ve got it in you to manage a bunch of chai-crazed co-workers and elite corporates?

The work as an Operations Executive at CupShup involves:

• To plan, manage and execute marketing campaigns in the City.
• Working closely with the City Manager and keeping him/her updated about the proceedings of the campaign and other nitty-gritties.
• Unlocking new partnerships and business by working with the Operations Team and the City Head.
• Optimizing the over-all operational efficiency and being accountable towards the Profit and Loss of the organization.
• Delegation of work along with monitoring and tracking the work of Delivery Team and Operating System.
•  

Skills required as an Operations Executive:

• Minimum experience of 1-2 years with enough knowledge about the know-hows of Operations.
• Good idea of General Management that involves in-house work along with professional collaborations.
• Command over sales and marketing to assist the Team whenever, and wherever required.
• Team Management abilities that involve versatility and flexibility in order to get the work done.
• A hunger for personal growth and over-all development will definitely help you fair well and keep up with the ever-evolving changes of this medium of marketing.

Also, along with this you need to make sure that our Office never runs out of chaispiration—the secret potion that gets our Team working well.

• The Pre-Authorization Specialist is a member of the Pre-Authorization Department who is responsible for verifying eligibility, obtaining insurance benefits, and ensuring pre-certification, authorization, and referral requirements are met prior to the delivery of inpatient, outpatient, and ancillary services.
• This individual determines which patient services have third-party payer requirements and is responsible for obtaining the necessary authorizations for care.
• The Pre-Authorization Specialist provides detailed and timely communication to both payers and clinical partners in order to facilitate compliance with payer contractual requirements and is responsible for documenting the appropriate information in the patient's record.
• Other duties as assigned.