Field Sales Executive

Strong Backend Developer with Rust knowledge

Mandatory (Experience) - Must have 3+ YOE as a Software Engineer

Mandatory (Core Skills) - Expert level knowledge in Rust or Realtime experience in Rust

Mandatory (Company) - Product company (Highly preferred- Blockchain companies, Gaming Companies, Early stage startups)

Mandatory (Education) - Engineering from Tier-1 Colleges

Responsibilities:-

Claim Follow-Up: Review and follow up on unpaid or denied claims with insurance companies, providers, and patients to secure timely payments.

Customer Communication: Conduct professional follow-up calls and emails to resolve outstanding balances, answer inquiries, and clarify billing issues.

Documentation: Maintain accurate and up-to-date records of all communications, payment arrangements, and claim statuses in the billing system.

Dispute Resolution: Investigate and resolve discrepancies related to payments, denials, and adjustments, collaborating with relevant departments as necessary.

Reporting: Generate and review reports on accounts receivable aging, collections progress, and trends to provide insights for management.

Compliance: Ensure adherence to healthcare regulations, billing guidelines, and company policies related to accounts receivable.

Collaboration: Work closely with the billing and coding teams to ensure accurate processing of claims and timely resolution of issues.

Job Description:

As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies.

Responsibilities:

• Assist in collecting, cleaning, and preprocessing data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement machine learning models and algorithms.
• Create data visualizations and reports to communicate findings to stakeholders.
• Collaborate with team members on data-driven projects and research.
• Participate in meetings and contribute to discussions on project progress and strategy.
• Work with large datasets to clean, preprocess, and analyze data.
• Build and deploy statistical and machine learning models to generate actionable insights.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations.
• Assist in the creation of data visualizations and dashboards for reporting insights.
• Support the development and improvement of data pipelines and algorithms.
• Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions.
• Contribute to the documentation and presentation of results, findings, and recommendations.
• Participate in team meetings, brainstorming sessions, and project discussions.

Duration: 03 Months (with the possibility of extending up to 6 months)

MODE: Work From Home (Online)

Requirements:

• Any Graduate / PassOuts / Freasher can apply.
• Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong foundation in statistics, probability, and data analysis techniques.

Benefits

Internship Certificate

Letter of recommendation

Stipend Performance Based

Part time work from home (2-3 Hrs per day)

5 days a week, Fully Flexible Shift

We're Hiring: Machine Learning & Data Science Engineer

Location: Gurugram / Bengaluru (Full-time, In-Office)

Salary: Up to ₹2.5 Cr

Preferred Qualifications: PhDs, Tier-1 Grads (IITs, IISc, top global universities)

Join a stealth, VC-backed startup operating across the US, India, and EU, shaping the future of AI-driven Observability utilizing LLMs, Generative AI, and cutting-edge ML technologies. Collaborate with visionary founders experienced in scaling billion-dollar products.

🔍 What You’ll Do:

- Develop advanced time series models for anomaly detection & forecasting

- Create LLM-powered Root Cause Analysis systems employing causal inference & ML techniques

- Innovate using LLMs for enhanced time series comprehension

- Build real-time ML pipelines & scalable MLOps workflows

- Utilize Bayesian methods, causality, counterfactuals, and agent evaluation frameworks

- Handle extensive datasets in Python (TensorFlow, PyTorch, Scikit-Learn, Statsmodels, etc.)

✅ What We’re Looking For:

- Minimum 5 years of experience in ML, time series, and causal analytics

- Proficiency in Python & the ML ecosystem

- In-depth understanding of causal inference, Bayesian statistics, LLMs

- Background in ML Ops, scalable systems, and production deployment

- Additional expertise in Observability, AI agents, or LLM Ops is a plus

💡 Why Join:

- Contribute to building a groundbreaking product from inception

- Tackle real-world impactful challenges alongside a top-tier team

- Engage in a culture that prioritizes ownership, agility, and creativity

Apply here: https://whitetable.ai/form/machine-learning-data-science-engineer-dc784b

FirstFiling is a FinTech startup that is managed, operated, and driven by Chartered Accountants, Company secretaries, IT engineers, and Lawyers. We provide registration and financial compliance services to businesses and individuals across India.

Our aim is to simplify the lives of people by helping individuals and businesses with mandatory compliances, filings, and statutory requirements while promoting financial literacy among the masses. 

Technology Profile-

The candidate must have experience in the following technologies (the more the better):

Frontend:

Core - JavaScript, CSS, Bootstrap, etc.

Frameworks - ReactJS, Angular, Vue, etc.

Requirements:

• Ability to reuse components
• Proven experience in working with Git and Github 
• Creating and consuming a RESTful API
• You must have clear concepts of client-server architecture
• Familiarity with MVC (Model-View-Controller) design patterns
• Understanding of OOP concepts

Furthermore, the candidate must have built or published any web app or project through which they can demonstrate their experience and knowledge of the aforementioned technologies and requirements. 

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.

Responsibilities:

• Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
• Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
• Optimize model performance and accuracy through experimentation, iteration, and testing.
• Build and maintain ML infrastructure and tools to support model development and deployment.
• Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

• 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
• Experience with ML Ops, including deploying and managing ML models in production environments.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Embeddings and building on top of LLMs.
• Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

Designation: Art Director

Department: Brand Marketing

Location: Bangalore

Qualification: Bachelor’s degree in graphic design, art, or similar discipline

Experience: 4+ years of relevant experience in creative roles at Ad agency, with an understanding of creative development and production.

Responsibilities:

1. Collaborate, brainstorm, and strategize with teams for a wide range of materials – be in ATL, BTL, internal, corporate or brand communication
2. Translate strategic direction into high-quality design within an established brand identity
3. Develop concepts by hand or with software, and execute original content determining ideal usage of colour, text, font style, imagery, and layout
4. Use trend intelligence and an understanding of the current and historical business and market to design and execute specific classifications
5. Develop innovative marketing experiences that help tell meaningful stories, which connect to users and communities to drive awareness and viewership of the brand.
6. Graphic and Layout design, End to End development of the set.
7. Create tailored content and conversations across each channel for total ecosystem engagement.
8. Effectively build and manage relationships with internal stakeholders, as well as talent.
9. Read, review and design content to identify the right content for videos.
10. Supervise projects, timelines and manage deadlines

Skills:  

1. Exceptional creativity and innovative design skills
2. Experience with design software, including Illustrator, InDesign, Photoshop, etc.
3. Proven experience with graphic design, with a strong portfolio of work
4. Excellent communication and presentation skills
5. Organizational and time-management skills for meeting deadlines in a fast-paced environment
6. Hands-on knowledge in creative skills like content, layout design, graphic design,
7. Excellent verbal and written skills and confident communication skills..

Salary: Upto 12LPA (Negotiable)

IMMEDIATE JOINING PREFERRED!